Heba Z Sailem
Cited by
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A screen for morphological complexity identifies regulators of switch-like transitions between discrete cell shapes
Z Yin, A Sadok, H Sailem, A McCarthy, X Xia, F Li, MA Garcia, L Evans, ...
Nature cell biology 15 (7), 860-871, 2013
Cell shape and the microenvironment regulate nuclear translocation of NF‐κB in breast epithelial and tumor cells
JE Sero, HZ Sailem, RC Ardy, H Almuttaqi, T Zhang, C Bakal
Molecular systems biology 11 (3), 790, 2015
Microenvironmental heterogeneity parallels breast cancer progression: a histology–genomic integration analysis
R Natrajan, H Sailem, FK Mardakheh, M Arias Garcia, CJ Tape, ...
PLoS medicine 13 (2), e1001961, 2016
Cross-talk between Rho and Rac GTPases drives deterministic exploration of cellular shape space and morphological heterogeneity
H Sailem, V Bousgouni, S Cooper, C Bakal
Open biology 4 (1), 130132, 2014
Analysis of live cell images: Methods, tools and opportunities
TA Nketia, H Sailem, G Rohde, R Machiraju, J Rittscher
Methods 115, 65-79, 2017
Visualizing cellular imaging data using PhenoPlot
HZ Sailem, JE Sero, C Bakal
Nature communications 6 (1), 1-6, 2015
Identification of clinically predictive metagenes that encode components of a network coupling cell shape to transcription by image-omics
HZ Sailem, C Bakal
Genome research 27 (2), 196-207, 2017
How cells explore shape space: a quantitative statistical perspective of cellular morphogenesis
Z Yin, H Sailem, J Sero, R Ardy, STC Wong, C Bakal
Bioessays 36 (12), 1195-1203, 2014
Identification of molecular targets for the targeted treatment of gastric cancer using dasatinib
RC Montenegro, A Howarth, A Ceroni, V Fedele, B Farran, FP Mesquita, ...
Oncotarget 11 (5), 535, 2020
Proteomics profiling of interactome dynamics by colocalisation analysis (COLA)
FK Mardakheh, HZ Sailem, S Kümper, CJ Tape, RR McCully, A Paul, ...
Molecular BioSystems 13 (1), 92-105, 2017
Visualizing quantitative microscopy data: History and challenges
HZ Sailem, S Cooper, C Bakal
Critical reviews in biochemistry and molecular biology 51 (2), 96-101, 2016
KCML: a machine‐learning framework for inference of multi‐scale gene functions from genetic perturbation screens
HZ Sailem, J Rittscher, L Pelkmans
Molecular systems biology 16 (3), e9083, 2020
Inferring signalling networks from images
L Evans, H Sailem, PP Vargas, C Bakal
Journal of Microscopy 252 (1), 1-7, 2013
Discovery of rare phenotypes in cellular images using weakly supervised deep learning
H Sailem, M Arias-Garcia, C Bakal, A Zisserman, J Rittscher
Proceedings of the IEEE International Conference on Computer Vision …, 2017
Morphological landscape of endothelial cell networks reveals a functional role of glutamate receptors in angiogenesis
HZ Sailem, A Al Haj Zen
Scientific reports 10 (1), 1-14, 2020
HighVia - A Flexible Live-cell High Content Screening Pipeline to Assess Cellular Toxicity
D Howarth, A., Schröder, M., Montenegro, R., Drewry, D., Sailem, H., Millar ...
SLAS Discovery, 1-11, 2020
Differential RNAi screening provides insights into the rewiring of signalling networks during oxidative stress
MA Garcia, MS Alvarez, H Sailem, V Bousgouni, J Sero, C Bakal
Molecular BioSystems 8 (10), 2605-2613, 2012
DeepScratch: single-cell based topological metrics of scratch wound assays
A Javer, J Rittscher, HZ Sailem
Computational and Structural Biotechnology Journal 18, 2501-2509, 2020
ShapoGraphy: a glyph-oriented visualisation approach for creating pictorial representations of bioimaging data
M Khawatmi, Y Steux, S Zourob, H Sailem
bioRxiv, 2021
DeepSplit: Segmentation of Microscopy Images Using Multi-Task Convolutional Networks
A Torr, D Basaran, J Sero, J Rittscher, H Sailem
Annual Conference on Medical Image Understanding and Analysis, 155-167, 2020
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